Prescribing Behavior Research Articles

Feasibility of a low-intensity intervention to improve antimicrobial use in outpatient settings

Background: Overall, ~12% of outpatient visits result in an antibiotic prescription, and 30% of those prescriptions are inappropriate. Behavioral nudges help influence practitioner behavior. We hypothesized that peer comparison combined with a behavioral nudge (a patient alert letter) would influence prescribers to reduce antibiotic prescriptions and improve antimicrobial stewardship in the outpatient setting. We pilot-tested this intervention in outpatient primary care clinics associated with a large Veterans Affairs (VA) medical center. Methods: We conducted a clustered randomized controlled trial of 12 community-based outpatient clinics. All practitioners in the intervention arm received quarterly comparative feedback reports and, when indicated, quarterly patient alert letters. Comparative feedback reports gave personalized feedback about antibiotic prescriptions for upper respiratory tract infections, comparing the recipient’s antibiotic prescriptions to the average for all practitioners at the primary care clinics included in our study. Patient alert letters notified practitioners to patients in their panel with recently detected Clostridioides difficile or resistant organism and their antibiotic exposures. We assessed outpatient visits during the preintervention period (April–September 2020), the intervention period (October 2020–September 2021), and the postintervention period (October 2021–September 2022). A mixed-effects logistic regression model predicting antibiotic prescriptions compared the arms across these periods. Results: The outpatient populations observed in the intervention and control arms were similar during each phase of the study. Prior to the intervention, the average proportion of visits with an antibiotic prescription was lower among clinics in the intervention arm (1.4% vs 1.8% in control arm; P = .45). This difference broadened slightly during the intervention period (1.4% vs 2.1%, respectively; P = .03) and the postintervention period (1.3% vs 2.1%, respectively; P = .01) (Fig. 1). Throughout the study, clinics in the intervention arm typically used more doxycycline and azithromycin and less amoxicillin-clavulanate and sulfamethoxazole-trimethoprim compared to clinics in the control arm. (Fig. 2). In the 6-month preintervention period, which coincided with the early phase of the COVID-19 pandemic, antibiotic prescriptions in the intervention compared to control clinics were similar. During the intervention and postintervention periods, the proportion of visits with an antibiotic prescription remained steady for clinics in the intervention arm and increased for those in the control arm. These results suggest that this pilot study using a low-intensity intervention consisting of comparative feedback reports and patient alert letters was successful in influencing the antibiotic prescribing behavior of primary care clinicians practicing in community-based outpatient clinics affiliated with a VA medical center.Financial support: This study was funded by Merck.Disclosures: None

Initial blood culture collection practices and the associated factors upon continued empiric piperacillin-tazobactam usage

Background: Approaches to the prescription behavior of broad-spectrum antibiotics, including preauthorization and prospective audit and feedback (PAF), are a focus of antimicrobial stewardship (ASP). However, preprescription behavior, such as blood-culture collection before empiric prescription, is understudied and merits more attention given its influence on the usage of broad-spectrum antibiotics. At the University of Tokyo Hospital, carbapenems are subject to PAF, which has resulted in a compensatory increase in piperacillin-tazobactam use. To evaluate the inherent preprescription behavior associated with a broad-spectrum antibiotic, we investigated the initial blood-culture collection practices upon hospitalization in patients who were continued on empiric piperacillin-tazobactam. Methods: A retrospective observational study was conducted at the University of Tokyo Hospital, a tertiary-care hospital in Tokyo, Japan. Patients who were administered piperacillin-tazobactam on the day of hospitalization between April 2016 and December 2017 were included. Patients aged <=18 years and/or patients who discontinued piperacillin-tazobactam within two days were excluded. Only 1 admission per patient was kept for analysis. The medical records of 250 randomly selected patients were reviewed to obtain data on demographics, blood-culture collection, severity, specialties, and risk factors for multidrug-resistant organisms. A multivariable logistic regression analysis was used to identify factors associated with blood-culture collection. Results: In total, 960 discrete patients fulfilled the study criteria. Of the randomly selected 250 patients, blood cultures were collected from 162 patients (64.8%), and microbial growth was observed in 30 cases (18.5%). Enterobacterales and anaerobes accounted for 73.3% of the microbial population. Gastroenterologists (94, 37.6%) and general surgeons (52, 20.8%) were the most common prescribers. Hepatobiliary (83, 33.2%), respiratory (58, 23.2%), and intra-abdominal infections (IAI; 34, 13.6%) were the major suspected diagnoses. Blood-culture collection was associated with the use of immunosuppressive agents (OR, 3.48; 95% CI, 1.49–8.99), intrabdominal infection (OR, 0.28; 95% CI, 0.12–0.67), systemic inflammatory response syndrome criteria ≥ 2 (OR, 4.50; 95% CI, 2.25–9.42), and surgical specialty (OR, 0.33; 95% CI, 0.18–0.60). Conclusions: More than one-third of patients requiring hospitalization and empiric piperacillin-tazobactam did not undergo blood-culture collection. The finding that blood cultures were less likely to be obtained in patients with suspected IAI requiring hospitalization and by surgical specialties raises a concern regarding suboptimal evaluation. Further assessment of the appropriateness of blood-culture collection in the setting of broad-spectrum antibiotic prescription and tailored promotion of blood-culture collection to surgical specialties may be warranted.Disclosures: S.K.: The author (during graduate school (PhD) was involved in antiviral research relevant to a neglected tropical disease and favipiravir. During this graduate school research, favipiravir was provided by FUJIFILM Toyama Chemical Co. Ltd

Conflict of Cross-Country Ethical Values: President of China and Prime Minister of Canada at G20 Indonesia

The ethical conflict between the President of China and the Prime Minister of Canada at the G20 Summit in Indonesia deserves to be studied as to the causes of ethical differences between leaders. Ethical leadership, appropriate prescriptive behaviour, and promotion among staff through personal behaviour and interpersonal relationships. The focus of ethical leadership is obedience, and the content material of norms and ethical requirements varies in line with the cultural context of each country. Community members develop cognitive templates of behaviours that leaders prefer. This indicates that leaders tend to act in a manner that corresponds to their respective societal expectations of being more effective. This study uses a systematic literature review method. Ethical leadership in China is rooted in Confucian philosophy, whereas ethical leadership in Canada emphasizes performance, future orientation, and individualism. Lawrence Kohlberg on moral reasoning said that most people go through what is called the conventional cognitive level of moral development. This study provides reference material in the study of culture and cognition in ethical leadership that has not been extensively studied by researchers. This research helps people see the cultural differences that affect ethical leadership among state leaders, particularly in China and Canada. Communities can understand this difference and thus prevent conflicts in the future.

Designing audit and feedback dashboards for dentists to monitor their opioid prescribing

Background and objectivePrescription drug abuse is a major factor leading to drug overdose deaths in the US and dentists are one of the leading prescribers of opioid pain medication. Knowing that Audit & Feedback (A&F) dashboards are an effective tool and are used as quality improvement interventions, we aimed to develop such dashboards personalized for dental providers which could allow them to monitor their own opioid prescribing performance. MethodsIn this paper we report on the process for designing the A&F dashboards for dentists which were developed by using an iterative human-centered design process. The results obtained from each iteration were used to enrich the information needs analyses, provide function testing, and guide the design decisions of the next iteration. ResultsEngaging dentists in the development and refinement of the dashboards while using the think-aloud protocol for user-testing, provided rapid feedback and identified areas that were confusing and needed either a redesign or additional explanatory content. The final version of dashboards consisted of displaying necessary information through easy to interpret visualizations and interactive features. These included providing access to current national and organizational prescribing guidelines, displaying changes in individual prescribing behavior over time, comparing individual prescribing rate to peer group rate and target rate, displaying procedure specific prescribing, integrating patient reported post-operative dental pain experience and providing navigation and interpretation tips for users. The dashboards were easy to learn and understand for the dentists and were deemed as worth using often in dental practice. ConclusionOur research was able to demonstrate the creation of useful and usable A&F dashboards using data from electronic dental records and patient surveys, for dentists to effectively monitor their opioid prescribing behavior. Efficacy of the dashboards will be tested in future work.

Quantifying community-wide antibiotic usage via urban water fingerprinting: Focus on contrasting resource settings in South Africa

There has been a significant increase in antimicrobial agents (AAs) usage, globally – however the relative consumption is unevenly distributed between nations. Inappropriate use of antibiotics can harbour inherent antimicrobial resistance (AMR); therefore, it is important to understand and monitor community-wide prescribing and consumption behaviours throughout different communities around the world. Wastewater-Based Epidemiology (WBE) is a novel tool enabling low cost and large scale studies focussed on AA usage patterns.The back-calculation of community antimicrobial intake was performed from quantities measured in municipal wastewater and informal settlement discharge in the city of Stellenbosch, utilising WBE. Seventeen antimicrobials, and their human metabolites, were evaluated, in concordance with prescription records corresponding to the catchment region. The proportional excretion, biological/chemical stability, and method recovery of each analyte were all crucial factors in the efficacy of the calculation. Mass per day measurements were normalised to the catchment area via population estimates. Municipal wastewater treatment plant population estimates were used to normalise the wastewater samples and prescription data (mg/day/1000 inhabitants). Population estimates for the informal settlements were less accurate due to a lack of reliable sources that were relevant to the sampling time period. Both mass loads and normalised loads suggested higher than average usage throughout the settlements, relative to municipal wastewater. This was seen most prominently in emtricitabine and lamivudine; but also, sulfamethoxazole, trimethoprim, sulfadiazine, clindamycin, ciprofloxacin, ofloxacin, and doxycycline. Urban water fingerprinting (UWF) data triangulation with prescription datasets showed good correlations for several antimicrobial agents (AAs) (e.g., clindamycin, clarithromycin, ofloxacin, and doxycycline). It also revealed discrepancies in usage for some compounds (e.g., tetracycline and sulfapyridine). This might be linked with a lack of pharma compliance in prescription datasets; erroneous association of prescription boundaries with the sewerage catchment; and/or uncertainties within the sewerage catchment (e.g., population estimations). The UWF tool provided a comprehensive overview of multiclass AAs usage, both prescription and over-the counter. For example, tetracycline was not reported in available prescription statistics, but was detected at an average of 18.4 mg/day/1000inh; and no antiviral prescriptions were obtained, but emtricitabine and lamivudine were quantified at 2415.4 and 144.4 mg/day/1000inh, respectively. A lack of clarity regarding prescriptions and a lack of inclusion of several critical (often over-the-counter) medications in public health databases makes WBE a useful and comprehensive epidemiology tool for tracking pharma usage within a catchment.

Off-label use of antimicrobials among hospitalized children: a retrospective study of 3,406 patients.

Off-label drug use is a global problem for which many countries and regions have issued legal provisions or reached an expert consensus. Off-label use is sometimes a necessity, especially since antibacterial drugs have become one of the most widely used drugs in pediatric settings and the issue of causing antimicrobial resistance has increasingly become unavoidable. It also poses additional risks, such as adverse drug reactions. Our study analyzed the antimicrobial prescriptions of pediatric inpatients in a large Chinese hospital in the first half of 2021. This retrospective investigation included 6,829 prescriptions, including 2,294 off-label prescriptions. We performed descriptive analyses of prescription antimicrobial agents among pediatric populations and reported the percentages and frequencies. It was found that off-label use of antibiotics was present in many children (n = 1,665, 48.9%) and was most common in newborns (n = 328, 82.8%). Among the commonly used antibiotics in pediatric patients, cephalosporins (n = 2,778, 40.7%) accounted for a relatively low proportion of offlabel use (n = 360, 15.7%), while macrolides (n = 628, 27.4%) and penicillins (n = 610, 26.6%) accounted for a higher proportion. The off-label type mainly referred to the appropriate population (46.5%) and dosage (dose, 10.0%; frequency of administration, 48.3%). Off-label use was due to imperfect labels, improper medications, or medication errors. Only a few consensuses could apply to pediatric patients. More clinical trials are required to update the consensus, and drug labels must be continuously improved. The prescription behavior of doctors is also needed to be regulated. Rational use of drugs, especially antimicrobials, is the responsibility of all people, including the states, medical institutions, and individuals.

Appropriate antibiotic use and antimicrobial resistance: knowledge, attitudes and behaviour of medical students and their needs and preferences for learning

BackgroundThe impact of an appropriate use of antibiotics on the prevention of antimicrobial resistance (AMR) has been demonstrated. Surveys have shown, however, that medical students do not feel sufficiently trained to use antibiotics wisely. The aims of our study were (1) to describe what medical students currently know about appropriate antibiotic use, and (2) to identify students’ learning preferences as a basis for developing student-centred teaching modules to convey the basics of AMR prevention.MethodsWe performed an online survey at Charité Universitätsmedizin Berlin and the Julius-Maximilians-University Würzburg on the knowledge, attitudes, and behaviour (KAB) of medical students concerning AMR, antibiotic treatment options, and their perceptions of AMR topics addressed in the medical curriculum. Participants were able to fill out an online questionnaire between December 2019 and February 2020. In addition, we conducted focus group discussions with lecturers and medical students in winter 2019/2020 to identify AMR-related learning needs and preferences. Data were analysed descriptively.ResultsOverall, 356 students (response rate 5.1%) participated in the KAB survey. Of these, 192 (54%) strongly agreed that the topic of AMR is relevant to students’ clinical practice and 48% (171/355) stated that their future antibiotic prescription behaviour will have an influence on AMR development in their region. Participating students seemed to be interested in the topic of AMR and antibiotic therapy. But even of them, only 46% answered the question about the length of antibiotic use for community-acquired pneumonia correctly and 57% the question about the appropriate use of antibiotics in Staphylococcus aureus infections. Focus group discussions with students (n = 7) and lecturers (n = 9) identified a lack of competence in the responsible use of antibiotics and the prevention of AMR. Respondents stated that the teaching formats and AMR-related content should emphasize clinical applications, interaction with peers/clinicians, and repeated formative feedback from instructors.ConclusionsOur results show that even medical students who were interested in the AMR problem were not able to use antibiotics appropriately due to gaps in knowledge and a lack of clinical skills. Based on the insights gained in the learning preferences of students and their content priorities, improved student-centred teaching materials should be developed.

Generic drugs prescription behavior: A pilot study on Tunisian doctors

ABSTRACT Generic drugs seem a promising alternative to decrease healthcare costs. However, on one hand, doctors express reluctance toward this kind of drug, and on the other hand, existing literature remains silent about factors explaining their prescribing behavior. The current study mobilizes the Health Belief Model to offer a better understanding of the factors that hinder the prescription of generic drugs by doctors in terms of benefits, barriers, perceived susceptibility, perceived severity, self-efficacy, and action cues. Twenty-four in-depth interviews were conducted with doctors from different specialties. Projective techniques were used including Chinese portrait, completion test, completion task, and association tests. Data analysis was processed using Sphinx software. The paper offers practical recommendations for health authorities and pharmaceutical firms to better promote generics. Increasing the prescription of generic drugs, compared to branded drugs, may increase patient access to affordable drug treatments, decrease healthcare costs and establish rational utilization of medicines. Generic drugs prescription may consequently play an essential role in improving the quality of life.

Opioid prescribing patterns among medical practitioners in New South Wales, Australia.

Prescriber behaviour is important for understanding opioid use patterns. We described variations in practitioner-level opioid prescribing in New South Wales, Australia (2013-2018). We quantified opioid prescribing patterns among medical practitioners using population-level dispensing claims data, and used partitioning around medoids to identify clusters of practitioners who prescribe opioids based on prescribing patterns and patient characteristics identified from linked dispensing claims, hospitalisations and mortality data. The number of opioid prescribers ranged from 20,179 in 2013 to 23,408 in 2018. The top 1% of practitioners prescribed 15% of all oral morphine equivalent (OME) milligrams dispensed annually, with a median of 1382 OME grams (interquartile range [IQR], 1234-1654) per practitioner; the bottom 50% prescribed 1% of OMEs dispensed, with a median of 0.9 OME grams (IQR 0.2-2.6). Based on 63.6% of practitioners with ≥10 patients filling opioid prescriptions in 2018, we identified four distinct practitioner clusters. The largest cluster prescribed multiple analgesic medicines for older patients (23.7% of practitioners) accounted for 76.7% of all OMEs dispensed and comprised 93.0% of the top 1% of practitioners by opioid volume dispensed. The cluster prescribing analgesics for younger patients with high rates of surgery (18.7% of practitioners) prescribed only 1.6% of OMEs. The remaining two clusters comprised 21.2% of prescribers and 20.9% of OMEs dispensed. We observed substantial variation in opioid prescribing among practitioners, clustered around four general patterns. We did not assess appropriateness but some prescribing patterns are concerning. Our findings provide insights for targeted interventions to curb potentially harmful practices.

Using Behavior Change Theory to Identify Drivers and Barriers for Antifungal Treatment Decisions: A CaseStudy in a Large Teaching Hospital in the East of England, UK.

Antifungal stewardship (AFS) programs are recognized to contribute to optimizing antifungal prescribing for treatment and prophylaxis. However, only a small number of such programs are implemented. Consequently, evidence on behavioral drivers and barriers of such programs and learnings from existing successful AFS programs is limited. This study aimed to leverage a large AFS program in the UK and derive learnings from it. The objective was to (a) investigate the impact of the AFS program on prescribing habits, (a) use a Theoretical Domains Framework (TDF) based on the COM-B (Capability, Opportunity, and Motivation for Behavior) to qualitatively identify drivers and barriers for antifungal prescribing behaviors across multiple specialties, and (c) semiquantitatively investigate trends in antifungal prescribing habits over the last 5years. Qualitative interviews and a semiquantitative online survey were conducted across hematology, intensive care, respiratory, and solid organ transplant clinicians at Cambridge University Hospital. The discussion guide and survey used were developed to identify drivers of prescribing behavior, based on the TDF. Responses were received from 21/25 clinicians. Qualitative outcomes demonstrated that the AFS program was effective in supporting optimal antifungal prescribing practices. We found seven TDF domains influencing antifungal prescribing decisions-five drivers and two barriers. The key driver was collective decision-making among the multidisciplinary team (MDT) while key barriers were lack of access to certain therapies and fungal diagnostic capabilities. Furthermore, over the last 5years and across specialties, we observed an increasing tendency for prescribing to focus on more targeted rather than broad-spectrum antifungals. Understanding the basis for linked clinicians' prescribing behaviors for identified drivers and barriers may inform interventions on AFS programs and contribute to consistently improving antifungal prescribing. Collective decision-making among the MDT may be leveraged to improve clinicians' antifungal prescribing. These findings may be generalized across specialty care settings.

Postprocedural Opioid-Prescribing Practice in Nail Surgery.

Ingrown toenails are a common condition requiring outpatient procedures in podiatric medical clinics. To prevent recurrence, chemical matrixectomy is often recommended. Postprocedural pain management is largely based on preferences rather than on a formal guideline. This study aims to explore the postprocedural prescribing behavior among practicing podiatric physicians to foster future guideline and policy development. We administered an open, voluntary, anonymous questionnaire via an online survey platform that included a common nail procedure scenario (chemical matrixectomy) and a prescribed demographics section. Podiatric physicians were asked what they would prescribe to manage postprocedural pain. Opioid and nonopioid options were provided. We developed two multiple logistic regression models to identify associations between prescriber characteristics and prescribing opioids after "standard" chemical matrixectomy. Of the 860 podiatrists who completed the survey, 8.7% opted to prescribe an opioid. Hydrocodone was most commonly chosen. A median of 18 opioid pills were prescribed. No prescriber characteristics were associated with prescribing opioids after chemical matrixectomy scenario. There is a large discrepancy and knowledge gap in the literature on the optimal postprocedural pain management for outpatient procedures, including procedures in specialties such as dentistry and dermatology. The median number of opioids prescribed by podiatrists is higher than that by dentists for management of third molar extraction. In contrast, opioid-prescribing behavior among the 8.7% of respondents is similar to dermatologic management of postprocedural pain in Mohs surgery. Podiatric physicians cannot assume that their prescribing of opioids does not affect the opioid abuse problem in the United States. The presented study serves to be an initiation for procedure-specific opioid prescription benchmarking to foster future guideline and policy development. After nail procedures, opioids should not be routinely prescribed.

PRESCRIBING PATTERN OF DRUGS IN OUTPATIENT DEPARTMENT IN TERTIARY CARE HOSPITAL

Aim: The study was conducted to assess the prescribing behaviour for antimicrobials and various groups of drugs in tertiary care hospital in Puducherry. Prescription audit was done. Total 500 presc Method: riptions were analysed for sex wise distribution, no of patients for specic age group, antimicrobials prescribed in generic name, percentage of antibiotics, antacids, NSAIDs and multivitamins, among the prescribed drugs, groups of antibiotics, drugs prescribed from National List of Essential Medicines (2022), use ofxed drug combinations, injectable preparations if any. Results: Demographic analysis showed that out of 500 patients in OPD, most were female (53%) and in the age group between 41 to 60 years. In 500 number of prescriptions,9.96% of antibiotics were prescribed; uoroquinolones (5.42%) were prescribed more from antibiotics followed by extended spectrum penicillin (1.64%). 14.78%of antacids were prescribed; PPIs (11.28%) were prescribed more from antacids. 21.63% of NSAIDs were prescribed.11.66% were prescribed in generic names, 65.44% drugs were prescribed from National List of Essential Medicines (2022), 15.88% of FDCs were prescribed,6.13% of injectable preparations were prescribed. The rational use of antimicrobial agents is one of the main contribut Conclusion: ors to control worldwide emergence of bacterial resistance, side effects and reduced cost of the treatment

Extraordinary Claims in the Literature on High-Intensity Interval Training: II. Are the Extraordinary Claims Supported by Extraordinary Evidence?

Dishman challenged kinesiologists to seek a compromise between “the ideal physiological prescription and a manageable behavioral prescription.” High-intensity interval training (HIIT) is the first exercise modality that has been claimed to meet this challenge, combining substantial benefits for fitness and health with pleasure and enjoyment. If true, these claims may revolutionize the science and practice of exercise. In this paper, four claims are critically appraised: (a) HIIT lowers the risk of mortality more than moderate-intensity continuous exercise, (b) HIIT doubles endurance performance after only 15 min of training over 2 weeks, (c) 1 min of HIIT is equivalent to 45 min of moderate-intensity continuous exercise, and (d) HIIT is more pleasant and enjoyable than moderate-intensity continuous exercise. The evidence for these claims appears questionable. Kinesiology should heed the principle endorsed by Hume, Laplace, and Sagan, namely that extraordinary claims should be supported by commensurate evidence.

Impact of unsolicited reporting notifications on providers’ prescribing behavior: An experimental study on Maryland PDMP data

BackgroundUnsolicited Reporting Notifications(URNs) have been a component of Maryland’s Prescription Drug Monitoring Program (PDMP) since 2016. We evaluated the effect of URNs on providers’ prescription behaviors. MethodsThis is a quasi-experimental study of providers who were issued at least one URN from January 2018 to April 2021. Providers for whom URNs were not successfully delivered were designated as a comparison group. The outcome variables were average daily opioid and benzodiazepine prescriptions, average morphine milligram equivalents per patient, and proportion of overlapping opioid and benzodiazepine, either with or without muscle relaxant prescriptions. Changes were compared before versus after the issuance of a URN among the intervention and comparison groups using “Generalized Estimation Equation” and “Generalized Linear” Models. We also conducted stratified analyses by types of URN, including notifications for multiple provider episodes (MPE), overdose fatality (ODF), and dangerous drug combinations (DDC). ResultsThe average daily number of opioids prescriptions (3.3% decrease in the intervention group vs 22.7% increase in the comparison group, P<0.001), co-prescription of opioids and benzodiazepines either with muscle relaxants (68.0% decrease vs. 36.1% decrease, P<0.001), or without muscle relaxants (6.0% decrease vs. 16.3% increase, P<0.001), significantly reduced after the first URN regardless of the type of URN. Stratified analysis by types of URNs showed that ODF and DDC URNs had a significant effect on most of the outcomes of interest. ConclusionThe findings suggest that unsolicited reporting, especially particular types of URNs including ODF and DDC, is associated with subsequent changes in unsafe prescribing behaviors.

Building knowledge in opioid prescribing in post-operative treatment.

Opioids prescribed in hospital are a key risk factor for harm in the community. This study aimed to gain an in-depth understanding of factors affecting post-operative opioid prescribing amongst clinicians using the capability, opportunity, motivation generate behaviour framework, more commonly known as COM-B. Focus groups and semi-structured interviews were used to gain an in-depth understanding of factors affecting optimal practice when prescribing opioids for post-operative patients at discharge. A topic guide was written using the COM-B behaviour change model to ensure the full range of possible factors influencing prescribing behaviours were explored. We found barriers and facilitators of optimal opioid prescribing practice across all three domains of capability, opportunity and motivation. Capability among junior doctors could be increased in the areas of risk assessment and prescribing appropriate discharge analgesia, though education and training were not key barriers to improving practice. Findings indicated that opportunity to practice optimal prescribing was hindered by a lack of time at discharge and technology. Beliefs about one's own and others' responsibilities also impacted motivation to practice optimal prescribing behaviours. Pharmacists were identified as key supports for patient education and appropriate prescribing. Educating prescribers about opioid risks and clinical practice guidelines are necessary interventions, however, our findings indicate that if implemented in isolation, they may not have the desired impact. Interventions also need to address discharge time pressures and presumptions that GPs are aware of whether opioids should be ceased or continued after surgical discharge.

Pharmacist-led multi-faceted intervention in an antimicrobial stewardship programme at a dental university hospital in Japan

Antimicrobials are commonly prescribed in dentistry. However, inappropriate antimicrobial prescriptions are common in this field. Optimizing antimicrobial prescriptions in dentistry requires an effective strategy for modifying prescribing behaviour. To assess the efficacy of pharmacist-led multi-faceted intervention for the proportion of monthly antimicrobial prescriptions in each drug group per 100 oral antimicrobial prescriptions. A before-after trial was performed at a university hospital outpatient dental clinic. A pharmacist-led, multi-faceted intervention, including immediate and direct feedback to the prescribers, an explanation of the rules of antimicrobial prescriptions for patients with penicillin allergy, tutorials for dentistry students, and a review of hospital-approved antimicrobials, was implemented from April 2017 to March 2022. Antimicrobials were classified into eight groups, namely, penicillins, first- and second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, macrolides, clindamycin, carbapenem, and others. In total, there were 2,643,988 visits to the outpatient dental clinic during the study period. The monthly mean proportion of prescriptions for penicillins increased from 45.6 to 84.1 per 100 oral antimicrobial prescriptions (P<0.001) while that of third-generation cephalosporins decreased from 43.0 to 7.3 (P<0.001) from the pre-intervention to the intervention period. Moreover, the monthly mean proportion of fluoroquinolones, macrolides, and carbapenems decreased from 11.2 to 7.44 (P<0.001). The intervention modified dentists' antimicrobial prescribing behaviours, leading to an immediate increase in the number of monthly prescriptions for penicillins and a simultaneous decrease in the number of monthly prescriptions for third-generation cephalosporins and other broad-spectrum, oral antimicrobials.

Data-Driven Identification of Unusual Prescribing Behavior: Analysis and Use of an Interactive Data Tool Using 6 Months of Primary Care Data From 6500 Practices in England

Approaches to addressing unwarranted variation in health care service delivery have traditionally relied on the prospective identification of activities and outcomes, based on a hypothesis, with subsequent reporting against defined measures. Practice-level prescribing data in England are made publicly available by the National Health Service (NHS) Business Services Authority for all general practices. There is an opportunity to adopt a more data-driven approach to capture variability and identify outliers by applying hypothesis-free, data-driven algorithms to national data sets. This study aimed to develop and apply a hypothesis-free algorithm to identify unusual prescribing behavior in primary care data at multiple administrative levels in the NHS in England and to visualize these results using organization-specific interactive dashboards, thereby demonstrating proof of concept for prioritization approaches. Here we report a new data-driven approach to quantify how "unusual" the prescribing rates of a particular chemical within an organization are as compared to peer organizations, over a period of 6 months (June-December 2021). This is followed by a ranking to identify which chemicals are the most notable outliers in each organization. These outlying chemicals are calculated for all practices, primary care networks, clinical commissioning groups, and sustainability and transformation partnerships in England. Our results are presented via organization-specific interactive dashboards, the iterative development of which has been informed by user feedback. We developed interactive dashboards for every practice (n=6476) in England, highlighting the unusual prescribing of 2369 chemicals (dashboards are also provided for 42 sustainability and transformation partnerships, 106 clinical commissioning groups, and 1257 primary care networks). User feedback and internal review of case studies demonstrate that our methodology identifies prescribing behavior that sometimes warrants further investigation or is a known issue. Data-driven approaches have the potential to overcome existing biases with regard to the planning and execution of audits, interventions, and policy making within NHS organizations, potentially revealing new targets for improved health care service delivery. We present our dashboards as a proof of concept for generating candidate lists to aid expert users in their interpretation of prescribing data and prioritize further investigations and qualitative research in terms of potential targets for improved performance.

Designing a Multilevel Strategy to Enhance Secondary Prevention of Heart Disease.

Background Coronary artery calcification (CAC), the presence and severity of which strongly predict underlying coronary artery disease (CAD), can be seen on dedicated cardiac imaging studies or incidentally on noncardiac ones; however, the latter findings are commonly managed by primary care clinicians without clear accompanying recommendations and may represent an underrecognized opportunity to optimize secondary prevention of CAD. Methods Standardized practice guidelines and a multilevel implementation strategy for improving secondary prevention of cardiovascular disease through incidentally identified CAC were developed by an interdisciplinary committee. Evidence-based implementation strategies were selected1 and included integrating practice guidelines into radiology reports within the electronic medical records. Outpatient noncardiac computerized tomography scans performed before and after this initiative were retrospectively reviewed to evaluate changes in statin prescribing. Results Authors demonstrated an increase in the percentage of patients with mild CAC prescribed a statin and an increase in the percentage of patients with severe CAC prescribed a high-intensity statin after implementation of standardized practice guidelines and evidence-based implementation strategies. Conclusion Incidental CAC identification is common, particularly in those without known CAD. A multilevel implementation strategy and use of standardized practice guidelines appeared to improve provider prescribing behavior in the primary care setting and may provide an opportunity to enhance secondary CAC prevention.

Rescheduling gabapentinoids had negligible effects on prescribing behaviour by general practitioners in England.

To determine whether the rescheduling of gabapentinoids in England as Schedule 3 Controlled Substances in April 2019, changed prescribing behaviour for gabapentinoids by general practitioners. Data on the monthly number of prescription items and the monthly average dose per prescription item were analysed for the period April 2017 to April 2021 under three models: (i) a simple linear regression, (ii) a linear spline with a knot at April 2019, and (iii) a parallel slopes model with time before and after the rescheduling as a covariate. Best fit models were selected based on them having the lowest corrected Akaike's information criterion. Auto-regressive integrated moving average (ARIMA) models were also generated. For gabapentin, the best fit model for the number of prescription items was the simple linear model, and for the dose per prescription item it was the parallel slopes model. For pregabalin, the best fit model was the linear spline for the number of prescription items and the dose per prescription item. For all models, the interval estimates for the slopes were consistent with no change or no meaningful change in prescribing behaviour after April 2019. Forecasts from ARIMA models for gabapentin and pregabalin were consistent with no change in the number of prescription items per month. However, forecasts for the dose per prescription item for gabapentin or pregabalin did not fully capture the post-April 2019 trajectories. The reclassification of gabapentinoids did not materially change the prescribing behaviour of these drugs by general practitioners in England.

Factors Influencing Inappropriate Use of Antibiotics in Infants under 3 Years of Age in Primary Care: A Qualitative Study of the Paediatricians' Perceptions.

Antibiotic consumption in infants of less than three years is higher than average the average consumption for general population. The aim of this study was to explore paediatricians' opinions regarding factors influencing inappropriate use of antibiotics in early infancy in primary care. A qualitative study based on the grounded theory using convenience sampling was conducted in Murcia Region, Spain. Three focal discussion groups were developed with 25 participants from 9 health areas (HA) of Murcia Region. Paediatricians perceived that health care pressure was an influential factor in the prescribing behaviour, forcing them to prescribe antibiotics for a rapid cure in unjustified circumstances. Participants believed that antibiotic consuming was related to parents' self-medication due to their perceptions about the curative potential of antibiotics together with facilities to obtain these agents from pharmacies without prescription. The misuse of antibiotics by paediatricians was associated to the lack of education on antibiotic prescription and the limited use of clinical guidelines. Not prescribing an antibiotic in the presence of a potentially severe disease generated more fear than an unnecessary prescription. The clinical interaction asymmetry was more evident, when paediatricians use trapping risk strategies as a mechanism to justify a restrictive prescribing behaviour. The rational model of clinical decision-making in antibiotic prescribing among paediatricians was determined by factors associated with health care management, social awareness and knowledge of the population and pressure of families' demands. The present findings have contributed to the design and implementation of health interventions in the community for improving awareness of the appropriate use of antibiotics, as well as for a better quality of prescription by peadiatricians.